{"id":"W3089092845","doi":"10.1109/tgcn.2020.3025951","title":"Statistical-QoS Guarantee for IoT Network Driven by Laser-Powered UAV Relay and RF Backscatter Communications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Shenzhen University; National Natural Science Foundation of China","keywords":"Relay; Backscatter (email); Internet of Things; Quality of service; Computer science; Computer network; Laser; Telecommunications; Free-space optical communication; Optical communication; Electronic engineering; Engineering; Wireless; Embedded system; Physics; Power (physics); Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001395166,0.001849349,0.001279279,0.0005368944,0.0009037494,0.001388359,0.001335579,0.001092807,0.002495467],"category_scores_gemma":[0.004293234,0.0004645056,0.0006252675,0.001066149,0.0007968104,0.001546367,0.001257185,0.001112795,0.0003315364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684732,"about_ca_system_score_gemma":0.001705411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003657535,"about_ca_topic_score_gemma":0.0036067,"domain_scores_codex":[0.9990492,0.0002494706,0.00003631245,0.0001847178,0.0002177999,0.000262352],"domain_scores_gemma":[0.9972948,0.001753139,0.0003207288,0.0001005161,0.0003912942,0.0001394233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001494936,0.00005514046,0.0006620848,0.0001608974,0.00003120295,0.0002151201,0.00007402813,0.9617926,0.00566076,0.01840108,0.001551075,0.01124639],"study_design_scores_gemma":[0.000003785021,0.00002782821,0.00006159151,0.000002747243,0.000004758431,0.00002465798,0.00001602099,0.9976261,0.0003618374,0.00174931,0.0001178912,0.000003459053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05258176,0.001082675,0.9388658,0.0005960274,0.0001165779,0.00008450842,0.0001807986,0.0002339777,0.00625791],"genre_scores_gemma":[0.9632338,0.0008666342,0.03318635,0.0001295636,0.0001067778,0.0001061857,0.0001468254,0.00006654179,0.002157194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003657535,"threshold_uncertainty_score":0.0122236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602013754278933,"score_gpt":0.2406677132345499,"score_spread":0.2146475756917606,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}